Mental models in cognitive science
✍ Scribed by Johnson-Laird P.N.
- Tongue
- English
- Leaves
- 23
- Category
- Library
No coin nor oath required. For personal study only.
✦ Synopsis
Статья из журнала Cognitive science 4 (1980) c.71-115
If cognitive science does not exist then it is necessary to invent it. That sloganaccommodates any reasonable attitude about the subject. One attitude-an optimistic
one-is that cognitive science already exists and is alive and flourishing
in academe: we have all in our different ways been doing it for years. The
gentleman in Moliere’s play rejoiced to discover that he had been speaking prose
for forty years without realizing it: perhaps we are merely celebrating a similar
discovery. And, if we just keep going on in the same way, then we are bound to
unravel the workings of the mind. Another attitude-my own-is more pessimistic:
experimental psychology is not going to succeed unaided in elucidating
human mentality; artificial intelligence is not going to succeed unaided in modelling
the mind; nor is any other discipline-linguistics, anthropology, neuroscience,
philosophy-going to have any greater success. If we are ever to understand
cognition, then we need a new science dedicated to that aim and based only
in part on its contributing disciplines. Yet pessimism should not be confused with
cynicism. We should reject the view that cognititie science is merely a clever ruse
dreamed up to gain research funds-that it is nothing more than six disciplines in
search of a grant-giving agency.
✦ Subjects
Языки и языкознание;Лингвистика;Когнитивная лингвистика и лингвоконцептология
📜 SIMILAR VOLUMES
Biomedicine has become one of the best-modeled domains from several perspectives - artificial intelligence, psychology, and the social sciences; yet few studies have combined these points of view. In this book, the interdisciplinary strengths of cognitive science offer fresh insights into biomedical
<p><p>This book discusses the paradigm of quantum ontology as an appropriate model for measuring cognitive processes. It clearly shows the inadequacy of the application of classical probability theory in modelling the human cognitive domain. The chapters investigate the context dependence and neuron